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Чётко описанная ведущая роль сочетает аналитику производства с практическим улучшением процессов в компании из полупроводниковой отрасли, однако широкий круг задач и работа на площадке ограничивают гибкость.
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Текст:
Hirify AI/Оригинал
TL;DR
Lead Engineer, Manufacturing Engineering & Data Systems (Manufacturing Analytics/Data Systems): Developing automated analytical tools, dashboards, data models, and manufacturing automation improvements for a CMP polishing pads factory with an accent on PowerBI, SQL, cloud data platforms, and data quality. Focus on analyzing complex production datasets, resolving data pipeline issues, leading cross-functional digital transformation, and expanding automation equipment capabilities.
Location: Hillsboro, Oregon, United States of America; onsite manufacturing facility role
Company
hirify.global is a global manufacturing company developing materials, technologies, and solutions for semiconductor production.
What you will do
Develop and maintain automated analytical tools, dashboards, KPI scorecards, reports, data models, views, and datasets for the Hillsboro CMP polishing pads factory.
Analyze production, quality, and business datasets to identify trends, opportunities, risks, root causes, and operational improvements.
Design scalable cloud-based data solutions with IT and data engineering teams using GCP, Snowflake, and related platforms.
Investigate data quality, pipeline, and integration issues, coordinate corrective actions, and promote data governance and validation standards.
Support adoption of analytical tools through training, documentation, knowledge sharing, and communication of findings to technical and non-technical audiences.
Improve manufacturing automation equipment and processes, lead future equipment expansion, and drive cross-functional improvements in profitability, efficiency, productivity, and quality.
Requirements
Bachelor’s or Master’s degree in Mechanical Engineering, Chemical Engineering, Materials Science and Engineering, Statistics, Data Analytics, Computer Science, or a related field; equivalent experience may be considered.
8+ years of experience in data analytics, business intelligence, manufacturing analytics, or operational analytics.
Strong experience developing dashboards and reports with PowerBI.
Experience developing automated solutions with JMP, Python, or other software.
Advanced SQL skills and ability to work with large, complex datasets.
Hands-on experience with cloud data platforms such as GCP or Databricks.
Ability to design and communicate data models, views, and reporting datasets.
Strong understanding of data quality, root cause analysis, and data validation, including troubleshooting data pipelines and integrations with IT teams.
Experience supporting manufacturing or semiconductor facilities; strong communication, independent work, customer focus, and ability to lead cross-functional initiatives.
Nice to have
Capital project management experience.
Six Sigma Green Belt or Black Belt.
Master’s degree with 5+ years of experience, Bachelor’s degree with 8+ years of experience, or PhD; equivalent experience is considered.
Culture & Benefits
Full-time position reporting to the Director of Operations and working with Manufacturing, Production Operations, Quality, Supply Chain, Planning, IT, and global engineering teams.
Collaborative, values-driven culture focused on People, Accountability, Creativity, and Excellence.
Competitive base salary and annual bonus eligibility.
Progressive paid time off, health, dental and vision insurance, and a 401(k) plan with employer match and no delayed vesting.
Education assistance and opportunities to transfer engineering best practices across sites and unit operations.
hirify.global does not provide immigration-related sponsorship; applicants who require current or future H1B, TN, STEM OPT, or other immigration sponsorship should not apply.
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